withgalaxy.com

AI-readiness starts with data readiness.

Custom-built for your stack, not the market.

Data Ingestion

Pre-built connectors for databases, warehouses, SaaS tools, and streams.

Data Transformation

Entity resolution across sources without replacing your stack.

account

size

Website

companies

name

domain

dim_customer

full_name

segment

Intergalactic Data Labs Company

Properties

Industry Data Services

Employees 1-10

Domain withgalaxy.com

Sources · 3

account

companies

dim_customer

Connections · 3

MB Mitch Bregman Contact

Q3 Renewal Opportunity

Acme Holdings Parent

Data Modeling

Entity relationships become queryable instead of tribal knowledge.

AI Agents

Ask questions over your data in plain language and get cited results instantly.

Which accounts are at risk of churn this quarter?

Found 12 accounts at risk. Top: Meridian Labs — pipeline down 34% in 90 days.

Ask anything about your data…

MCP

Connect Galaxy to your AI tools via MCP.

Account churn analysis

Used Galaxy Integration

Pulled their record from Galaxy. Three drivers stand out: Workspace usage dropped 34% in Q3 — sharpest on the AI assist features. Their sponsor, Michael Capretta, moved into a strategy role in September. And their renewal slipped past the 60-day window after legal stalled on the new MSA.

ChatGPT Auto

Why did Meridian Labs churn?

Used Galaxy Integration

Pulled the full account history from Galaxy.

The short answer: their champion left for Hightouch in January, no one replaced him, and Hightouch came back with a 40%-off bundle right as Meridian Lab's parent company was cutting costs. We had the warning signs but didn't act on the playbook.

What Galaxy showed me:

Account basics — Meridian Labs, Enterprise plan, $142K ARR, 2.3 years as a customer. Churned April 18, 2026. CSM was Jane Doe, AE was John Smith.

The trigger event — Galaxy's contact records show that the current VP Data, our main champion, left on January 29 and joined Hightouch. His replacement, Sarah Okonkwo, had a prior working relationship with Hightouch from her last company.

Usage collapsed right after — In the 30 days following Marcus's departure, weekly active users dropped from 47 down to 12. That's a 74% decline. Advanced features like cohort analysis and custom dashboards went to nearly zero, while CSV exports jumped 8x — Galaxy flags this as a "data extraction before exit" pattern.

API

REST API endpoints with shared governance.

Response 200 OK

{
  "id": "galaxy",
  "type": "Company",
  "name": "Galaxy",
  "domain": "withgalaxy.com",
  "industry": "Data infrastructure",
  "employees": 12,
  "headquarters": "New York, NY",
  "connections": [
    { "type": "Person",  "count": 5 },
    { "type": "Product", "count": 3 },
    { "type": "Project", "count": 4 }
  ],
  "provenance": {
    "confidence": 0.98,
    "sources": ["crunchbase", "linkedin", "salesforce"]
  }
}

GET /v1/entities/company/galaxy

RBAC

Roles and tags define who can see what across your organization.

Name Description Members Tags

Admin Full read and write access across all entities, sources, policies, and workspace settings. 3

pii financial phi confidential internal public

Data Engineer Builds and maintains the data plane. Reads PII as masked, full access to internal data and pipelines. 4

pii financial confidential internal public

Analyst Queries warehouse data through workbooks. Reads financial and internal data, PII is masked. 12

pii financial internal public

Viewer Read-only on internal and public content. No access to sensitive tags. 22

internal public

External Scoped access for partners and customers. Limited to public content. 5

public

Service account Programmatic access for ingestion and sync jobs. 1

pii financial internal public

Audit

Every query, access and policy decision is captured for compliance and debugging.

Context graph queried 32s ago

Mitchell Bregman · Explored linked objects · 412 returned in 84ms

New data ingested 2m ago

HubSpot contacts sync · 1,204 rows added

Entity match approved 5m ago

Leon Kozlowski · Linked Meridian Labs to Galaxy

PII masked for analyst 9m ago

Sydney Bednar · Customer email hidden per policy

Slow query detected 12m ago

Account lookup took 612ms over GraphQL

Custom solutions

Bespoke integrations, migrations, and data products tailored to your needs.

Results in weeks, foundations for years.

Embedded with your team, in your stack. AI built around your critical workflows, shipped in weeks instead of quarters.

Case studies

Safe AI for people and talent data

Problem

The enterprise's most sensitive people data lived across Workday, Lattice, Greenhouse, Carta and 10+ other systems with no canonical, AI-ready model. Nearly every new question routed back through engineering.

Solution

We embedded as a forward-deployed team across the whole stack. We shipped OAuth connectors in under a week, replaced the purpose-built mart layer with a canonical entity model, and put natural-language querying, agents, and a secure MCP into production with row-level security and a full audit trail.

Outcome

A governed, AI-ready platform that customers can extend themselves, with new connectors in days and governed metrics they define instead of weeks routing through engineering and legal.

Peter Johnston Founder & CEO, Human Intelligence

Read case study

Risk intelligence startup

One customer view across every banking system

Request

Problem

Customers run on FIS, Fiserv, and other cores with no shared IDs.

Solution

Connected the sources and resolved entities across them into one graph.

Outcome

Stop fraud in real time, with every signal from every banking core in one view.

Frequently asked questions

What do you actually do?

We're a forward deployed team of data engineers. We embed with your team and build the infrastructure your AI systems run on. Pipelines, platforms, evaluation, the unglamorous plumbing that decides whether anything you ship actually works at scale. Everything custom, sized to your stack and your data.

What does forward deployed mean in practice?

The engineers who scope the work are the ones writing the code and sitting in your Slack. No account managers, no handoffs, no translation layer between you and the build. We work alongside your team day to day, on your problems, in your stack. The job isn't to blend in quietly. It's to move your systems forward, raise the bar your stack operates at, and leave your team building at a level higher than when we showed up.

What if our data is a mess?

That's usually the starting point. Schemas drifting across systems, pipelines no one fully understands, lineage that lives in one engineer's head. We've seen most of it before. We come in, figure out what's actually load bearing, and build the foundation your AI systems can run on. If the data were already clean you probably wouldn't need us.

What kinds of problems are you best at?

The hard ones. Data fragmented across a dozen systems. Pipelines that buckle the moment you ask them to support inference or evaluation. Retrieval that has to be right, not just fast. Observability that actually catches failures in production. The work where just using a vendor stopped being a real answer somewhere around your current scale.

Who's on the team?

Senior data, infrastructure, and AI engineers. The people who scope your build are the people who write the code and answer your Slack. That continuity is the only way to solve hard data problems well, and it's why we don't subcontract, don't hand off to juniors, and don't offshore. Senior end to end, every engagement.

Where does the code live?

In your repos, on your accounts, built on open standards. We don't build on a Galaxy platform and we don't lock anything in, because your team needs to own the infrastructure AI runs on.

What if we already have a data team?

Most of our customers already have a data team. We embed with them on the problems they don't have the time or specialty for, transfer ownership as we go, and leave them stronger. The goal is to make your team better at the work, not dependent on us to do it.

The Galaxy team <hello@withgalaxy.com>

June 16, 2026

To An operator considering Galaxy Subject Our team

We've shipped AI in environments where integrity wasn't a value statement, it was a constraint.
Lives, capital, and national interest rode on the data being right.

We carry that weight into everything we build.

Previously

Founding team

Mitchell Bregman Co-Founder · CEO
Leon Kozlowski Co-Founder · CTO
Michael Capretta Founding Team Member
Sydney Bednar Founding Team Member

About us

We've been where you are.

We've run the systems, carried the pager, answered for the numbers when they were wrong. We don't learn your problems on your time. We already know them.

We're in the room, not over the wall.

We build alongside your team, so nothing we do is a mystery to the people who have to live with it.

We're measured by what you do next.

Not what we built, but the decision it unlocked. That's the point of the work.

Open source

Backed by

We're hiring

We are always looking for world-class engineers. If you've shipped real systems and are excited to do it again across many hard data and AI problems, write to us.